Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
Authors: Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe | Published: 2019-08-09 | Updated: 2020-09-28
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Defending Against Adversarial Iris Examples Using Wavelet Decomposition
Authors: Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-08-08
Universal Adversarial Audio Perturbations
Authors: Sajjad Abdoli, Luiz G. Hafemann, Jerome Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich | Published: 2019-08-08 | Updated: 2020-11-17
Local Differential Privacy for Deep Learning
Authors: M. A. P. Chamikara, P. Bertok, I. Khalil, D. Liu, S. Camtepe, M. Atiquzzaman | Published: 2019-08-08 | Updated: 2019-11-09
Investigating Decision Boundaries of Trained Neural Networks
Authors: Roozbeh Yousefzadeh, Dianne P O'Leary | Published: 2019-08-07
BlurNet: Defense by Filtering the Feature Maps
Authors: Ravi Raju, Mikko Lipasti | Published: 2019-08-06 | Updated: 2020-05-16
Model Agnostic Defence against Backdoor Attacks in Machine Learning
Authors: Sakshi Udeshi, Shanshan Peng, Gerald Woo, Lionell Loh, Louth Rawshan, Sudipta Chattopadhyay | Published: 2019-08-06 | Updated: 2022-03-31
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
Authors: Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam Oberman | Published: 2019-08-05 | Updated: 2019-10-08
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Authors: Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang | Published: 2019-08-04 | Updated: 2019-12-17
A systematic review of fuzzing based on machine learning techniques
Authors: Yan Wang, Peng Jia, Luping Liu, Jiayong Liu | Published: 2019-08-04